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THE STUDY AND RESEARCH OF MEDICAL IMAGE FUSION TECHNOLOGY BASED ON MATLAB Biomedical signal is strong noise in the low-frequency signal, which is issued by the complexity of life on the instability of the natural signals from the signal itself, characteristics, test methods to processing technology, is different from the signal. The wide-ranging nature of biomedical signals is continuous, people deal with the general program of biomedical signals is to first by A / D conversion, to convert it into a digital signal, and then sent to the computer for processing. Common biological signals are: ECG, EEG, EMG, EGG, retinal electricity. These are usually through the electrode surface of biological signals picked up by the appropriate biological power amplifier, record and become the ECG, EEG, EMG, EGG, ERG and so on. The nature of biological signals from the electrical terms, can be divided into signal and non-electrical signals, such as ECG, EMG, EEG, etc. Others, such as body temperature, blood pressure, respiration, blood flow, pulse, heart sounds, etc. are non-electric signal. If the dimension from the processing point of view, can be divided into one-dimensional signal and two-dimensional signals, such as body temperature, blood pressure, respiration, blood flow, pulse, heart sounds, etc. are one-dimensional signal; the EEG, ECG, EMG, X rays, ultrasound images, CT images, MRI images belong to two-dimensional signal. Biomedical signal detection is the phenomenon of the organism contains the life, status, nature, composition and other information variables, and signal detection and quantification techniques. Biomedical signal processing research is based on the characteristics of biomedical signals, the acquisition of biomedical signal analysis, interpretation, classification, display, storage and transmission, the study first, the structure and function of biological systems research, Second, to assist in disease diagnosis and treatment. Biomedical signal detection
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